Washington University in St. Louis

How this program compares

At an estimated $41.8K in total tuition, the Graduate Certificate in Data Mining & ML sits about 266% above the $11.4K average for AI certificate programs in our database — placing it in the 99th percentile on cost among the 236 we track at this level.

Admission Snapshot

Typical admitted student: A bachelor's degree in a related field such as computer science, statistics, or engineering with a minimum GPA of 3.0 is required, along with programming experience in Python or R and basic knowledge of linear algebra and probability.

About This Program

This certificate program provides advanced training in data analysis and machine learning techniques, designed to be awarded alongside an engineering master's degree. Coursework concentrates on Machine Learning and Tech. Most students complete it in about 1 year.

Estimated total tuition is $41.8K, above the $11.4K average for AI certificate programs in our database and in the 99th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Gain machine learning skills to advance as Data Scientist in Cross-Industry AI Graduates frequently move into roles such as Data Scientist, with reported salaries around $130,000.

Career Outcomes

Gain machine learning skills to advance as Data Scientist in Cross-Industry AI

• 1. Data Scientist
• 2. Machine Learning Engineer
• 3. Data Analyst
• 4. Predictive Modeler

What You'll Learn

• Apply supervised and unsupervised machine learning algorithms to real-world datasets
• Extract actionable insights using data mining techniques and pattern recognition
• Build and evaluate predictive models for classification and regression tasks
• Handle large-scale data processing with tools for big data analytics

Curriculum Highlights

The structure features core requirements in machine learning and algorithms, with specialized electives in artificial intelligence, optimization, and natural language processing.

Top Employers

Top employers include tech companies like Google, Amazon, Microsoft, and Meta, as well as finance firms and consulting groups specializing in analytics.

Admissions

A bachelor's degree in a related field such as computer science, statistics, or engineering with a minimum GPA of 3.0 is required, along with programming experience in Python or R and basic knowledge of linear algebra and probability.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)